Pfizer improves Patent Search 10-fold with Linguamatics I2E
Intellectual property is critical in the drug discovery process. Before initiating any new project it is important to understand the patent landscape around any particular disease area, check if there is freedom-to-operate, and assess patentability. The business case to assess commercial viability for a project must cover not just the biology, such as “is there unmet medical need” but also, “what is the IP position”.
Streamlining patent research with natural language processing (NLP) text mining
So, scientists and researchers need to be able to access the information on genes and diseases in patents. But patents can be hundreds of pages long and contain complex information constructions and interconnected facts. Manual patent research is a time-consuming and costly process. More and more pharma companies, such as Pfizer, are looking to NLP text mining to keep up to date with their patent literature.
Pfizer researchers use Linguamatics Life Science Platform powered by I2E to find patents relating to specific diseases. The results feed a database to visualize gene targets, invention type, competitor organizations and overall patent “relevancy”.